https://huggingface.co/spaces/Saad123/minimal

app.py

@@ -1,12 +1,19 @@
 import gradio as gr
 import numpy as np
+from fastai.vision.all import *
+
+classifier=load_learner("CatvsDogmodel.pkl")
 
 def model(image):
     im_scaled = image/255
     im_reshape = np.reshape(im_scaled,[1,224,224,3])
-    return im_reshape
+    pred = classifier.predict(im_reshape)
+    if (pred == 0):
+        return "The Image is of a Dog."
+    if (pred == 1):
+        return "The Image is of a Cat."
 
 image = gr.inputs.Image(shape=(224,224))
 
-iface = gr.Interface(fn=model, inputs=image, outputs='numpy')
-iface.launch()
+iface = gr.Interface(fn=model, inputs=image, outputs='text')
+iface.launch(debug=True)

requirements.txt

@@ -1,5 +1,3 @@
 fastai==2.7.9
 gradio==3.1.7
 numpy==1.21.5
-opencv_python==4.6.0.66
-Pillow==9.2.0